Microsoft.SemanticKernel.Core 0.16.230615.1-preview
About Semantic Kernel
Semantic Kernel (SK) is a lightweight SDK enabling integration of AI Large Language Models (LLMs) with conventional programming languages. The SK extensible programming model combines natural language semantic functions, traditional code native functions, and embeddings-based memory unlocking new potential and adding value to applications with AI.
Semantic Kernel incorporates cutting-edge design patterns from the latest in AI research. This enables developers to augment their applications with advanced capabilities, such as prompt engineering, prompt chaining, retrieval-augmented generation, contextual and long-term vectorized memory, embeddings, summarization, zero or few-shot learning, semantic indexing, recursive reasoning, intelligent planning, and access to external knowledge stores and proprietary data.
Getting Started ⚡
- Learn more at the documentation site.
- Join the Discord community.
- Follow the team on Semantic Kernel blog.
- Check out the GitHub repository for the latest updates.
Showing the top 20 packages that depend on Microsoft.SemanticKernel.Core.
| Packages | Downloads |
|---|---|
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Microsoft.SemanticKernel.Connectors.OpenAI
Semantic Kernel connectors for OpenAI. Contains clients for chat completion, embedding and DALL-E text to image.
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57 |
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Microsoft.SemanticKernel.Connectors.OpenAI
Semantic Kernel connectors for OpenAI. Contains clients for chat completion, embedding and DALL-E text to image.
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53 |
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Microsoft.SemanticKernel.Plugins.Memory
Semantic Kernel Memory Plugin
|
51 |
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Microsoft.SemanticKernel
Semantic Kernel common package collection, including SK Core, OpenAI, Azure OpenAI, DALL-E 2.
Empowers app owners to integrate cutting-edge LLM technology quickly and easily into their apps.
|
50 |
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Microsoft.SemanticKernel.Connectors.AzureOpenAI
Semantic Kernel connectors for Azure OpenAI. Contains clients for chat completion, embedding and DALL-E text to image.
|
48 |
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Microsoft.SemanticKernel.Connectors.OpenAI
Semantic Kernel connectors for OpenAI. Contains clients for chat completion, embedding and DALL-E text to image.
|
48 |
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Microsoft.SemanticKernel
Semantic Kernel common package collection, including SK Core, OpenAI, Azure OpenAI, DALL-E 2.
Empowers app owners to integrate cutting-edge LLM technology quickly and easily into their apps.
|
47 |
|
Microsoft.SemanticKernel.Connectors.OpenAI
Semantic Kernel connectors for OpenAI and Azure OpenAI. Contains clients for text generation, chat completion, embedding and DALL-E text to image.
|
47 |
|
Microsoft.SemanticKernel.Connectors.OpenAI
Semantic Kernel connectors for OpenAI. Contains clients for chat completion, embedding and DALL-E text to image.
|
47 |
|
Microsoft.SemanticKernel.Connectors.OpenAI
Semantic Kernel connectors for OpenAI and Azure OpenAI. Contains clients for text generation, chat completion, embedding and DALL-E text to image.
|
46 |
|
Microsoft.SemanticKernel.Connectors.OpenAI
Semantic Kernel connectors for OpenAI. Contains clients for chat completion, embedding and DALL-E text to image.
|
46 |
|
Microsoft.SemanticKernel
Semantic Kernel common package collection, including SK Core, OpenAI, Azure OpenAI, DALL-E 2.
Empowers app owners to integrate cutting-edge LLM technology quickly and easily into their apps.
|
45 |
|
Microsoft.SemanticKernel.Connectors.OpenAI
Semantic Kernel connectors for OpenAI. Contains clients for chat completion, embedding and DALL-E text to image.
|
45 |
.NET Standard 2.0
- Microsoft.SemanticKernel.Abstractions (>= 0.16.230615.1-preview)
| Version | Downloads | Last updated |
|---|---|---|
| 1.81.0 | 7 | 10/9/2026 |
| 1.80.1 | 11 | 9/4/2026 |
| 1.80.0 | 15 | 8/20/2026 |
| 1.79.0 | 14 | 8/8/2026 |
| 1.78.0 | 17 | 7/10/2026 |
| 1.77.0 | 24 | 5/30/2026 |
| 1.76.0 | 28 | 5/13/2026 |
| 1.75.0 | 31 | 5/4/2026 |
| 1.74.0 | 30 | 3/22/2026 |
| 1.73.0 | 30 | 3/6/2026 |
| 1.72.0 | 32 | 2/23/2026 |
| 1.71.0 | 28 | 2/17/2026 |
| 1.70.0 | 35 | 1/25/2026 |
| 1.69.0 | 37 | 1/24/2026 |
| 1.68.0 | 42 | 12/12/2025 |
| 1.67.1 | 32 | 12/12/2025 |
| 1.67.0 | 37 | 12/12/2025 |
| 1.66.0 | 38 | 12/12/2025 |
| 1.65.0 | 33 | 12/12/2025 |
| 1.64.0 | 37 | 12/12/2025 |
| 1.63.0 | 36 | 12/12/2025 |
| 1.62.0 | 42 | 12/12/2025 |
| 1.61.0 | 35 | 12/12/2025 |
| 1.60.0 | 38 | 12/12/2025 |
| 1.59.0 | 32 | 12/12/2025 |
| 1.58.0 | 36 | 12/12/2025 |
| 1.57.0 | 35 | 12/12/2025 |
| 1.56.0 | 43 | 12/12/2025 |
| 1.55.0 | 35 | 12/12/2025 |
| 1.54.0 | 33 | 12/12/2025 |
| 1.53.1 | 32 | 12/12/2025 |
| 1.52.0 | 35 | 12/12/2025 |
| 1.51.0 | 36 | 12/12/2025 |
| 1.50.0 | 38 | 12/12/2025 |
| 1.49.0 | 27 | 12/12/2025 |
| 1.48.0 | 35 | 12/12/2025 |
| 1.47.0 | 32 | 12/12/2025 |
| 1.46.0 | 39 | 12/12/2025 |
| 1.45.0 | 37 | 12/12/2025 |
| 1.44.0 | 30 | 12/12/2025 |
| 1.43.0 | 34 | 12/12/2025 |
| 1.42.0 | 35 | 12/12/2025 |
| 1.41.0 | 33 | 12/12/2025 |
| 1.40.1 | 31 | 12/12/2025 |
| 1.40.0 | 34 | 12/12/2025 |
| 1.39.0 | 33 | 12/12/2025 |
| 1.38.0 | 35 | 12/12/2025 |
| 1.37.0 | 36 | 12/12/2025 |
| 1.36.1 | 33 | 12/12/2025 |
| 1.36.0 | 34 | 12/12/2025 |
| 1.35.0 | 31 | 12/12/2025 |
| 1.34.0 | 34 | 12/12/2025 |
| 1.33.0 | 34 | 12/12/2025 |
| 1.32.0 | 33 | 12/12/2025 |
| 1.31.0 | 36 | 12/12/2025 |
| 1.30.0 | 34 | 12/12/2025 |
| 1.29.0 | 30 | 12/12/2025 |
| 1.28.0 | 36 | 12/12/2025 |
| 1.27.0 | 30 | 12/12/2025 |
| 1.26.0 | 32 | 12/12/2025 |
| 1.25.0 | 38 | 12/12/2025 |
| 1.24.1 | 33 | 12/12/2025 |
| 1.23.0 | 32 | 12/12/2025 |
| 1.22.0 | 28 | 12/12/2025 |
| 1.21.1 | 35 | 12/12/2025 |
| 1.21.0 | 40 | 12/12/2025 |
| 1.20.0 | 39 | 12/12/2025 |
| 1.19.0 | 37 | 12/12/2025 |
| 1.18.2 | 35 | 12/12/2025 |
| 1.18.1-rc | 35 | 12/12/2025 |
| 1.18.0-rc | 31 | 12/12/2025 |
| 1.17.2 | 31 | 12/12/2025 |
| 1.17.1 | 32 | 12/12/2025 |
| 1.17.0 | 32 | 12/12/2025 |
| 1.16.2 | 31 | 12/12/2025 |
| 1.16.1 | 38 | 12/12/2025 |
| 1.16.0 | 36 | 12/12/2025 |
| 1.15.1 | 31 | 12/12/2025 |
| 1.15.0 | 32 | 12/12/2025 |
| 1.14.1 | 34 | 12/12/2025 |
| 1.14.0 | 36 | 12/12/2025 |
| 1.13.0 | 28 | 12/12/2025 |
| 1.12.0 | 34 | 12/12/2025 |
| 1.11.1 | 31 | 12/12/2025 |
| 1.11.0 | 30 | 12/12/2025 |
| 1.10.0 | 32 | 12/12/2025 |
| 1.9.0 | 32 | 12/12/2025 |
| 1.8.0 | 36 | 12/12/2025 |
| 1.7.1 | 35 | 12/12/2025 |
| 1.7.0 | 30 | 12/12/2025 |
| 1.6.3 | 31 | 12/12/2025 |
| 1.6.2 | 35 | 12/12/2025 |
| 1.6.1 | 32 | 12/12/2025 |
| 1.5.0 | 34 | 12/12/2025 |
| 1.4.0 | 35 | 12/12/2025 |
| 1.3.1 | 33 | 12/12/2025 |
| 1.3.0 | 31 | 12/12/2025 |
| 1.2.0 | 36 | 12/12/2025 |
| 1.1.0 | 33 | 12/12/2025 |
| 1.0.1 | 31 | 12/12/2025 |
| 1.0.0-rc4 | 37 | 12/12/2025 |
| 1.0.0-rc3 | 34 | 12/12/2025 |
| 1.0.0-rc2 | 29 | 12/12/2025 |
| 1.0.0-rc1 | 35 | 12/12/2025 |
| 1.0.0-beta8 | 31 | 12/12/2025 |
| 1.0.0-beta7 | 35 | 12/12/2025 |
| 1.0.0-beta6 | 36 | 12/12/2025 |
| 1.0.0-beta5 | 36 | 12/12/2025 |
| 1.0.0-beta4 | 31 | 12/12/2025 |
| 1.0.0-beta3 | 35 | 12/12/2025 |
| 1.0.0-beta2 | 29 | 12/12/2025 |
| 1.0.0-beta1 | 31 | 12/12/2025 |
| 0.24.230918.1-preview | 30 | 12/12/2025 |
| 0.24.230912.2-preview | 34 | 12/12/2025 |
| 0.24.230911.2-preview | 32 | 12/12/2025 |
| 0.23.230906.2-preview | 35 | 12/12/2025 |
| 0.22.230905.3-preview | 34 | 12/12/2025 |
| 0.21.230828.2-preview | 36 | 12/12/2025 |
| 0.20.230821.4-preview | 32 | 12/12/2025 |
| 0.19.230804.2-preview | 31 | 12/12/2025 |
| 0.18.230725.3-preview | 30 | 12/12/2025 |
| 0.17.230718.1-preview | 33 | 12/12/2025 |
| 0.17.230711.7-preview | 31 | 12/12/2025 |
| 0.17.230704.3-preview | 33 | 12/12/2025 |
| 0.17.230629.1-preview | 33 | 12/12/2025 |
| 0.17.230626.1-preview | 32 | 12/12/2025 |
| 0.16.230615.1-preview | 33 | 12/12/2025 |
| 0.15.231219.1-preview | 33 | 12/12/2025 |
| 0.15.230609.2-preview | 32 | 12/12/2025 |
| 0.15.230531.5-preview | 38 | 12/12/2025 |
| 0.14.547.1-preview | 28 | 12/12/2025 |
| 0.13.442.1-preview | 33 | 12/12/2025 |
| 0.13.277.1-preview | 31 | 12/12/2025 |
| 0.12.207.1-preview | 28 | 12/12/2025 |